Audit how major AI engines see, cite, and recommend your company

The audit is built around the prompts your real buyers would use, such as 'best [service] for small businesses', 'alternatives to [competitor]', or 'who should I hire for [problem] in [city]'. We agree on the prompt set with you so it reflects your offers and markets.

Each prompt is run on ChatGPT, Perplexity and Gemini, with repeated runs where results vary. We record mentions, citations, sentiment and accuracy rather than relying on impressions.

AI assistants tend to draw on information that appears consistently across many sources: your website, review platforms, directories, press coverage and community discussions. If that information is thin or contradictory, the assistant may skip you or describe you inaccurately, and you may never know it is happening.

An audit gives you a baseline. Without one, it is hard to tell whether later changes made a difference, or whether a competitor's growing presence is affecting how often you are recommended.

We start with a short discovery call to understand your services, buyers and main competitors, then draft the prompt set for your approval. Prompts are grouped by intent: category discovery, comparisons, local recommendations and brand questions.

We run the prompts in clean sessions to reduce personalization, repeat them to capture variability, and log the full answers and cited sources. Then we analyze patterns: which competitors appear most, which sources the engines lean on, and where your own information is missing or wrong.

The findings are delivered as a scorecard and a written action plan, walked through on a call so your team knows exactly what to do first.

The audit itself is diagnostic. It tells you where you are and why. Improvements come from acting on the plan, which often includes clarifying content on your site, strengthening entity information, earning mentions on sources the engines already cite, and fixing inconsistent listings.

AI answers change as models and their sources update, so improvements usually appear gradually over months. Many clients rerun the same prompt set periodically to measure progress against the original baseline. We do not promise that any engine will recommend you.

Pricing depends on scope: the number of prompts, how many competitors we benchmark, how many locations or product lines are covered, and whether you want repeat audits on a schedule. Our pricing page outlines how audits and follow-on work are structured, and we will confirm scope after the discovery call.